MERTON MODEL FOR ASSESSING THE COST OF CAPITAL, MATHEMATICAL AMOUNT BUT NOT ALSO ECONOMIC AMOUNT OF CAPM AND APT MODELS
Maria Pascu-Nedelcu
Journal of Doctoral Research in Economics, 2011, vol. 3, issue 1, 47-61
Abstract:
Models for assessing the cost of capital play a central role in substantiating investments decision. These models are often used to evaluate investments in trading securities on the stock market. This paper aims to highlight how a classic model of evaluation, inter-temporal CAPM model, in other words Merton model, can be written mathematically as the sum of two other classic models, CAPM and APT, but the results provided by it does not account for the positive results of the two components models. It is shown in this research that econometric tests of the model, on empirical data, it does not return more accurate results and more rigorous than either of the models used as components. The result of this research is to reveal the error in which the researchers fall when starting to build new econometric models for evaluation combining equations of existing models.
Keywords: regression equations; exogenous variables; endogenous variables; heteroskedasticity; probability of occurrence for the null value; error probability (search for similar items in EconPapers)
JEL-codes: C13 C22 G12 (search for similar items in EconPapers)
Date: 2011
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.jdre.ase.ro/RePEc/aes/jdreco/20111005.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:aes:jdreco:v:3:y:2011:i:1:p:47-61
Access Statistics for this article
More articles in Journal of Doctoral Research in Economics from The Bucharest University of Economic Studies Contact information at EDIRC.
Bibliographic data for series maintained by Lucian Onisor ().